Performance Validation of Coded Wavefront Sensing for Quantitative Phase Imaging of Static and Dynamic Specimens Using Digital Holographic Microscopy

TL;DR

This paper validates the accuracy of Coded Wavefront Sensing (Coded-WFS) for quantitative phase imaging of static and dynamic biological specimens by comparing its results with digital holographic microscopy.

Contribution

The study demonstrates the effectiveness of Coded-WFS in accurately retrieving phase information for both static and dynamic specimens, validated against DHM.

Findings

Coded-WFS successfully retrieves phase maps of silica beads and HEK cells.

Phase accuracy of Coded-WFS is validated against digital holographic microscopy.

The method captures both static and dynamic specimen data effectively.

Abstract

Coded wavefront sensing (Coded-WFS) is a snapshot quantitative phase imaging (QPI) technique that has been shown to successfully leverage the memory effect to retrieve the phase of biological specimens. In this paper, we perform QPI on static silica beads and dynamic HEK cells using Coded-WFS. The accuracy of the retrieved phase map is validated using digital holographic microscopy (DHM) for the same specimens. We report comparisons of simultaneous bright-field intensity and optical path delay.